Feat/prompt eval#435
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…the LLM responds, and optionally saves the results to Langfuse for tracking.
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Runs all prompt types against a set of test documents and prints the outputs, so you can eyeball whether the LLM is giving good results.
When LANGFUSE_PUBLIC_KEY / LANGFUSE_SECRET_KEY/LANGFUSE_BASE_URL are present in .env, every run is also logged to Langfuse so you can compare prompt versions in the UI.
Usage:
eyeball mode:
compare two models side-by-side in terminal:
using different LLM model
send results to Langfuse as an experiment (dataset is auto-created if missing)